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Record W4385986784 · doi:10.5772/intechopen.1002449

Simple Is Better When Appropriate: An Innovative Approach to Biowaste Treatment Using Wild Black Soldier Fly

2023· book-chapter· en· W4385986784 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueIntechOpen eBooks · 2023
Typebook-chapter
Languageen
FieldAgricultural and Biological Sciences
TopicInsect Utilization and Effects
Canadian institutionsnot available
FundersUniversity of Calgary
KeywordsPanacea (medicine)Context (archaeology)Dialog boxAcknowledgementEngineeringSimple (philosophy)Waste managementComputer scienceComputer securityGeographyWorld Wide Web

Abstract

fetched live from OpenAlex

The acknowledgement that “technology is not a panacea” creates opportunities to dialog about appropriate technologies that keep the local context at the forefront of deriving solutions. The Black Soldier Fly (BSF) biowaste treatment method offers one such opportunity, and its simplistic adaptation is critical in locations with waste collection and management challenges. In this chapter, the importance of local context on viable waste solutions will be discussed with the applicability of appropriate technology strategies. First, the Black Soldier Fly waste treatment method will be distinguished as an appropriate technology for low-income communities. Then, a brief history of the nascent BSF method will be traced, followed by the production scales favored by world regions. Finally, an open BSF bioreactor case study will be introduced and analyzed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.936
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.090
GPT teacher head0.271
Teacher spread0.181 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it